Computer vision for autonomous UAV flight safety: An overview and a vision-based safe landing pipeline example
Recent years have seen an unprecedented spread of Unmanned Aerial Vehicles (UAVs, or
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …
Deep learning for unmanned aerial vehicle-based object detection and tracking: A survey
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
recently become a hotspot across the fields of computer vision (CV) and remote sensing …
A Review on the State of the Art in Copter Drones and Flight Control Systems
J Peksa, D Mamchur - Sensors, 2024 - mdpi.com
This paper presents an overview on the state of the art in copter drones and their
components. It starts by providing an introduction to unmanned aerial vehicles in general …
components. It starts by providing an introduction to unmanned aerial vehicles in general …
Follow Anything: Open-Set Detection, Tracking, and Following in Real-Time
Tracking and following objects of interest is critical to several robotics use cases, ranging
from industrial automation to logistics and warehousing, to healthcare and security. In this …
from industrial automation to logistics and warehousing, to healthcare and security. In this …
Deep saliency smoothing hashing for drone image retrieval
Deep hashing algorithms are widely exploited in retrieval tasks due to their low storage and
retrieval efficiency. Most of them focus on global feature learning, while neglecting local fine …
retrieval efficiency. Most of them focus on global feature learning, while neglecting local fine …
Fast CNN-based single-person 2D human pose estimation for autonomous systems
C Papaioannidis, I Mademlis… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This paper presents a novel Convolutional Neural Network (CNN) architecture for 2D human
pose estimation from RGB images that balances between high 2D human pose/skeleton …
pose estimation from RGB images that balances between high 2D human pose/skeleton …
Shot type constraints in UAV cinematography for autonomous target tracking
During the past years, camera-equipped Unmanned Aerial Vehicles (UAVs) have
revolutionized aerial cinematography, allowing easy acquisition of impressive footage. In …
revolutionized aerial cinematography, allowing easy acquisition of impressive footage. In …
A multiple-UAV architecture for autonomous media production
Abstract Cinematography with Unmanned Aerial Vehicles (UAVs) is an emerging
technology promising to revolutionize media production. On the one hand, manually …
technology promising to revolutionize media production. On the one hand, manually …
Visual object tracking in drone images with deep reinforcement learning
S Ozer - 2020 25th International Conference on Pattern …, 2021 - ieeexplore.ieee.org
There is an increasing demand on utilizing camera equipped drones and their applications
in many domains varying from agriculture to entertainment and from sports events to …
in many domains varying from agriculture to entertainment and from sports events to …
Neural attention-driven non-maximum suppression for person detection
Non-maximum suppression (NMS) is a post-processing step in almost every visual object
detector. NMS aims to prune the number of overlapping detected candidate regions-of …
detector. NMS aims to prune the number of overlapping detected candidate regions-of …